Try Sensor Positioning Problem
with Quantum Computing

The Sensor Positioning Problem (SPP) minimizes the number of sensors needed to cover a set of points in a surveillance area. It is a version of the Set Covering Problem (SCP) with exponentially growing complexity. Approaches include exact methods (ILP, branch-and-bound), heuristics (greedy set cover), and meta-heuristics (simulated annealing, genetic algorithms). Applications: automotive LiDAR, smart cities, wireless networks, environmental monitoring, security, and emergency services.